AI Agent Skills

Python library for portfolio optimization built on top of scikit-learn

Stock analysis skill for market research and financial reasoning workflows.

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.

Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.

Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.

Research a companys valuation, growth, profitability, balance sheet, competitive moat, and management quality.

Assess business quality, economic moats, management, competitive positioning, and durable value creation.

Fast quantitative research and backtesting workflows for financial agents.

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

Retrieve official Federal Reserve economic series for GDP, inflation, rates, employment, money supply, and volatility research.

Estimate a public companys intrinsic value through DCF, relative, and sum-of-the-parts valuation methods.

Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task wi…

Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.

Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.